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NetworkInference

R implementation to the netinf algorithm. Infers the most likely diffusion network from a set of events

https://github.com/desmarais-lab/networkinference

Science Score: 10.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ○
    codemeta.json file
  • ○
    .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ✓
    Committers with academic emails
    1 of 3 committers (33.3%) from academic institutions
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (13.8%) to scientific vocabulary

Keywords

diffusion diffusion-network netinf-algorithm network-analysis r
Last synced: 6 months ago · JSON representation

Repository

R implementation to the netinf algorithm. Infers the most likely diffusion network from a set of events

Basic Info
  • Host: GitHub
  • Owner: desmarais-lab
  • License: other
  • Language: R
  • Default Branch: master
  • Homepage:
  • Size: 4.83 MB
Statistics
  • Stars: 24
  • Watchers: 2
  • Forks: 1
  • Open Issues: 2
  • Releases: 0
Topics
diffusion diffusion-network netinf-algorithm network-analysis r
Created over 9 years ago · Last pushed almost 7 years ago
Metadata Files
Readme License

README.Rmd 

---
output: github_document
---



```{r, echo = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "readme_figures/README-"
)
```

# NetworkInference: Inferring Latent Diffusion Networks

![](https://travis-ci.org/desmarais-lab/NetworkInference.svg) ![](http://www.r-pkg.org/badges/version/NetworkInference)
![](http://cranlogs.r-pkg.org/badges/NetworkInference)
![](http://cranlogs.r-pkg.org/badges/grand-total/NetworkInference?color=yellow)

## About

This package provides an R implementation of the netinf algorithm 
created by Gomez-Rodriguez, Leskovec, and Krause (see 
[here](http://snap.stanford.edu/netinf/) for more information and the original 
C++ implementation). Given a set of events that spread between a set of nodes 
the algorithm infers the most likely stable diffusion network that is underlying 
the diffusion process.

## Installation

The package can be installed from [CRAN](https://CRAN.R-project.org/):
```{r, eval=FALSE}
install.packages("NetworkInference")
```

The latest development version can be installed from 
[github](https://github.com/desmarais-lab/NetworkInference):
```{r, eval=FALSE}
#install.packages(devtools)
devtools::install_github('desmarais-lab/NetworkInference')
```

## Quick start guide

To get started, get your data into the `cascades` format required by the `netinf` 
function:

```{r, results='hide', message=FALSE}
library(NetworkInference)

# Simulate random cascade data
df <- simulate_rnd_cascades(50, n_node = 20)

# Cast data into `cascades` object
## From long format
cascades <- as_cascade_long(df)

## From wide format
df_matrix <- as.matrix(cascades) ### Create example matrix
cascades <- as_cascade_wide(df_matrix)
```

Then fit the model:
```{r}
result <- netinf(cascades, quiet = TRUE, p_value_cutoff = 0.05)
```

```{r, eval=FALSE}
head(result)
```
```{r, results="asis", echo=FALSE}
pander::pandoc.table(head(result))
```

Owner

  • Name: Bruce Desmarais's Lab
  • Login: desmarais-lab
  • Kind: organization
  • Email: bdesmarais@psu.edu

GitHub Events

Total
  • Watch event: 1
Last Year
  • Watch event: 1

Committers

Last synced: over 2 years ago

All Time
  • Total Commits: 457
  • Total Committers: 3
  • Avg Commits per committer: 152.333
  • Development Distribution Score (DDS): 0.013
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Fridolin Linder f****r@g****m 451
Bruce Desmarais b****s@g****m 3
Fridolin Linder f****r@n****u 3
Committer Domains (Top 20 + Academic)
nyu.edu: 1

Issues and Pull Requests

Last synced: 7 months ago

All Time
  • Total issues: 39
  • Total pull requests: 10
  • Average time to close issues: 24 days
  • Average time to close pull requests: about 16 hours
  • Total issue authors: 3
  • Total pull request authors: 2
  • Average comments per issue: 0.9
  • Average comments per pull request: 0.1
  • Merged pull requests: 8
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • flinder (37)
  • leifeld (1)
  • DGaffney (1)
Pull Request Authors
  • flinder (9)
  • testaccount57 (1)
Top Labels
Issue Labels
enhancement (19) bug (9)
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • cran 320 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 9
  • Total maintainers: 1
cran.r-project.org: NetworkInference

Inferring Latent Diffusion Networks

  • Versions: 9
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 320 Last month
Rankings
Stargazers count: 11.6%
Forks count: 21.9%
Dependent packages count: 29.8%
Average: 30.2%
Dependent repos count: 35.5%
Downloads: 52.1%
Maintainers (1)
fridolin.linder@gmail.com
Last synced: 6 months ago

Dependencies

DESCRIPTION cran
  • Rcpp >= 0.12.5 imports
  • assertthat * imports
  • checkmate * imports
  • ggplot2 * imports
  • ggrepel * imports
  • stats * imports
  • dplyr * suggests
  • igraph * suggests
  • knitr * suggests
  • pander * suggests
  • rmarkdown * suggests
  • testthat * suggests
  • utils * suggests